Data Engineer
Discovery Communications
Bellevue, WAThis was removed by the employer on 2/9/2021 10:33:00 AM PST
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Full Time Job
Position Summary
Job Summary: Are you excited by the challenges of building up big data infrastructure and results-oriented and providing data solutions to resolve complex data-related problems? We are looking for a talented Data Engineer to join the Data and Analytics team. You will design and own the DDSA data infrastructure and build up robust pipelines. You will have an opportunity to improve efficiency and data quality. You will interface with other technology teams to extract, transform, and load data from a wide variety of data sources using big data technology.
A successful candidate will have deep knowledge of business intelligence solutions, big data technology, and have the ability to work with various customers to drive and implement data solutions. They will have a passion for data, be a self-starter, comfortable with ambiguity, strong attention to detail. In this role, you will be able to apply your technical skills in developing Data recommendation infrastructure, large databases, recommendation tools, and systems to impact the business.
Responsibilities
• Contribute to the architecture, design, and implementation of next-generation Data solutions – including streaming data applications
• Manage AWS resources including Glue, EMR, Kinesis, Lambda etc.
• Collaborate with data scientists, BIEs, and BAs to deliver high-quality data architecture and pipelines.
• Interface with other technology teams to extract, transform and load data from a wide variety of data sources
• Continually improve ongoing processes and pipelines, automating or simplifying self-service support for customers
Requirements
• Bachelor's Degree or higher in Computer Sciences or similar
• Minimum 2 years of Software Industry experience
• 2 years of development experience with AWS services Must have EMR or Glue, Data Pipeline or Airflow, S3, Jenkins or other CI/CD
• 2 years of extensive working knowledge in spark (pyspark or scala).
• 1 years of development experience with realtime data streams Kafka/Kinesis
• Proficiency working with structured, semi-structured, and unstructured data sets and real-time streaming data feeds
• Fluency in SQL, Python, or a similar modeling language.
• Experience with data warehousing databases Redshift, Oracle, and techniques is preferred
• Expert level usage with Jenkins, GitHub is preferred
• Experience in the media industry is a plus
• Must have the legal right to work in the United States